Search Results for "body"

WiFi DensePose is a production-oriented implementation of a WiFi-based human pose estimation system that enables real-time full-body tracking using wireless signals rather than cameras. The project demonstrates how commodity mesh routers and signal processing techniques can be leveraged to infer dense human pose information, even through obstacles such as walls. It is designed to showcase the emerging field of RF-based sensing, where machine learning models interpret wireless channel data to reconstruct human movement and posture. ...

RuView is an edge AI perception system that transforms ordinary WiFi signals into real-time environmental sensing and human pose estimation. Built on the concept of WiFi DensePose, it analyzes disturbances in WiFi Channel State Information (CSI) caused by human movement to reconstruct body position, breathing patterns, heart rate, and presence. Unlike traditional vision systems, RuView operates without cameras, wearables, or cloud connectivity, making it a privacy-first sensing solution. The system runs on low-cost hardware such as ESP32 sensor meshes and performs signal processing and machine learning directly at the edge. ...

The goal of the See&Touch project is to design/implement a special mouse for disabled people, which allows a person to fully control a computer by using just vision and one single body movement. This project develops hardware, firmware and software.

Create email archives getting IMAP mailfolders or POP3 mailboxes. Search emails by sender/receiver/subject/body among already existing backup files (i.e. on dvd) in plain or compressed format. Tested on Linux-x86, Linux-PPC and Windows-XP platforms.